Profiling Report: Raw Data

Dataset statistics

Number of variables	40
Number of observations	60428
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	18.4 MiB
Average record size in memory	320.0 B

Variable types

Categorical	25
Numeric	14
Boolean	1

Alerts

`brand_name` has a high cardinality: 111 distinct values	High cardinality
`store_sales(in millions)` is highly correlated with `store_cost(in millions)` and 1 other fields	High correlation
`store_cost(in millions)` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`avg_cars_at home(approx)` is highly correlated with `avg_cars_at home(approx).1`	High correlation
`avg_cars_at home(approx).1` is highly correlated with `avg_cars_at home(approx)`	High correlation
`SRP` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`gross_weight` is highly correlated with `net_weight`	High correlation
`net_weight` is highly correlated with `gross_weight`	High correlation
`store_sqft` is highly correlated with `grocery_sqft` and 2 other fields	High correlation
`grocery_sqft` is highly correlated with `store_sqft`	High correlation
`frozen_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`meat_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`coffee_bar` is highly correlated with `video_store` and 3 other fields	High correlation
`video_store` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`salad_bar` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`prepared_food` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`florist` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`store_sales(in millions)` is highly correlated with `store_cost(in millions)` and 2 other fields	High correlation
`store_cost(in millions)` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`unit_sales(in millions)` is highly correlated with `store_sales(in millions)`	High correlation
`avg_cars_at home(approx)` is highly correlated with `avg_cars_at home(approx).1`	High correlation
`avg_cars_at home(approx).1` is highly correlated with `avg_cars_at home(approx)`	High correlation
`SRP` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`gross_weight` is highly correlated with `net_weight`	High correlation
`net_weight` is highly correlated with `gross_weight`	High correlation
`store_sqft` is highly correlated with `grocery_sqft` and 2 other fields	High correlation
`grocery_sqft` is highly correlated with `store_sqft`	High correlation
`frozen_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`meat_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`coffee_bar` is highly correlated with `video_store` and 3 other fields	High correlation
`video_store` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`salad_bar` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`prepared_food` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`florist` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`store_sales(in millions)` is highly correlated with `store_cost(in millions)` and 1 other fields	High correlation
`store_cost(in millions)` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`avg_cars_at home(approx)` is highly correlated with `avg_cars_at home(approx).1`	High correlation
`avg_cars_at home(approx).1` is highly correlated with `avg_cars_at home(approx)`	High correlation
`SRP` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`gross_weight` is highly correlated with `net_weight`	High correlation
`net_weight` is highly correlated with `gross_weight`	High correlation
`store_sqft` is highly correlated with `grocery_sqft` and 2 other fields	High correlation
`grocery_sqft` is highly correlated with `store_sqft`	High correlation
`frozen_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`meat_sqft` is highly correlated with `store_sqft` and 1 other fields	High correlation
`coffee_bar` is highly correlated with `video_store` and 3 other fields	High correlation
`video_store` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`salad_bar` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`prepared_food` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`florist` is highly correlated with `coffee_bar` and 3 other fields	High correlation
`store_city` is highly correlated with `store_state` and 7 other fields	High correlation
`avg. yearly_income` is highly correlated with `education` and 1 other fields	High correlation
`store_state` is highly correlated with `store_city` and 7 other fields	High correlation
`prepared_food` is highly correlated with `store_city` and 6 other fields	High correlation
`education` is highly correlated with `avg. yearly_income`	High correlation
`food_category` is highly correlated with `food_family` and 1 other fields	High correlation
`avg_cars_at home(approx)` is highly correlated with `avg_cars_at home(approx).1`	High correlation
`store_type` is highly correlated with `store_city` and 6 other fields	High correlation
`florist` is highly correlated with `store_city` and 6 other fields	High correlation
`coffee_bar` is highly correlated with `store_city` and 6 other fields	High correlation
`avg_cars_at home(approx).1` is highly correlated with `avg_cars_at home(approx)`	High correlation
`member_card` is highly correlated with `avg. yearly_income`	High correlation
`food_family` is highly correlated with `food_category` and 1 other fields	High correlation
`video_store` is highly correlated with `store_city` and 6 other fields	High correlation
`sales_country` is highly correlated with `store_city` and 1 other fields	High correlation
`salad_bar` is highly correlated with `store_city` and 6 other fields	High correlation
`food_department` is highly correlated with `food_category` and 1 other fields	High correlation
`food_category` is highly correlated with `food_department` and 2 other fields	High correlation
`food_department` is highly correlated with `food_category` and 2 other fields	High correlation
`food_family` is highly correlated with `food_category` and 1 other fields	High correlation
`store_sales(in millions)` is highly correlated with `store_cost(in millions)` and 2 other fields	High correlation
`store_cost(in millions)` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`unit_sales(in millions)` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`promotion_name` is highly correlated with `sales_country` and 12 other fields	High correlation
`sales_country` is highly correlated with `promotion_name` and 6 other fields	High correlation
`marital_status` is highly correlated with `num_children_at_home`	High correlation
`total_children` is highly correlated with `num_children_at_home`	High correlation
`education` is highly correlated with `occupation` and 3 other fields	High correlation
`member_card` is highly correlated with `avg. yearly_income` and 1 other fields	High correlation
`occupation` is highly correlated with `education` and 1 other fields	High correlation
`avg_cars_at home(approx)` is highly correlated with `education` and 1 other fields	High correlation
`avg. yearly_income` is highly correlated with `education` and 2 other fields	High correlation
`num_children_at_home` is highly correlated with `marital_status` and 2 other fields	High correlation
`avg_cars_at home(approx).1` is highly correlated with `education` and 1 other fields	High correlation
`SRP` is highly correlated with `store_sales(in millions)` and 1 other fields	High correlation
`gross_weight` is highly correlated with `net_weight`	High correlation
`net_weight` is highly correlated with `gross_weight`	High correlation
`low_fat` is highly correlated with `food_category` and 1 other fields	High correlation
`store_type` is highly correlated with `promotion_name` and 11 other fields	High correlation
`store_city` is highly correlated with `unit_sales(in millions)` and 15 other fields	High correlation
`store_state` is highly correlated with `promotion_name` and 13 other fields	High correlation
`store_sqft` is highly correlated with `promotion_name` and 13 other fields	High correlation
`grocery_sqft` is highly correlated with `promotion_name` and 13 other fields	High correlation
`frozen_sqft` is highly correlated with `promotion_name` and 12 other fields	High correlation
`meat_sqft` is highly correlated with `promotion_name` and 12 other fields	High correlation
`coffee_bar` is highly correlated with `promotion_name` and 11 other fields	High correlation
`video_store` is highly correlated with `promotion_name` and 11 other fields	High correlation
`salad_bar` is highly correlated with `store_type` and 10 other fields	High correlation
`prepared_food` is highly correlated with `store_type` and 10 other fields	High correlation
`florist` is highly correlated with `promotion_name` and 11 other fields	High correlation
`media_type` is highly correlated with `promotion_name` and 2 other fields	High correlation
`cost` is highly correlated with `promotion_name` and 5 other fields	High correlation
`total_children` has 5624 (9.3%) zeros	Zeros
`num_children_at_home` has 37609 (62.2%) zeros	Zeros

Reproduction

Analysis started	2024-09-15 07:26:49.410721
Analysis finished	2024-09-15 07:27:32.699933
Duration	43.29 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

food_category
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Vegetables	7440
Snack Foods	6919
Dairy	3835
Meat	3107
Fruit	3080
Other values (40)	36047

Length

Max length	20
Median length	16
Mean length	10.46648904
Min length	4

Characters and Unicode

Total characters	632469
Distinct characters	42
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Breakfast Foods
2nd row	Breakfast Foods
3rd row	Breakfast Foods
4th row	Breakfast Foods
5th row	Breakfast Foods

Common Values

Value	Count	Frequency (%)
Vegetables	7440	12.3%
Snack Foods	6919	11.4%
Dairy	3835	6.3%
Meat	3107	5.1%
Fruit	3080	5.1%
Jams and Jellies	2550	4.2%
Baking Goods	1947	3.2%
Breakfast Foods	1946	3.2%
Bread	1797	3.0%
Canned Soup	1722	2.8%
Other values (35)	26085	43.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
foods	9968	10.3%
vegetables	7619	7.9%
snack	6919	7.2%
products	4667	4.8%
and	4140	4.3%
dairy	3835	4.0%
meat	3107	3.2%
fruit	3080	3.2%
canned	3071	3.2%
jams	2550	2.6%
Other values (49)	47394	49.2%

Most occurring characters

Value	Count	Frequency (%)
e	75716	12.0%
a	59703	9.4%
s	47208	7.5%
o	38989	6.2%
	35922	5.7%
r	33840	5.4%
n	33330	5.3%
t	32034	5.1%
d	30804	4.9%
i	26744	4.2%
Other values (32)	218179	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	504337	79.7%
Uppercase Letter	92210	14.6%
Space Separator	35922	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	75716	15.0%
a	59703	11.8%
s	47208	9.4%
o	38989	7.7%
r	33840	6.7%
n	33330	6.6%
t	32034	6.4%
d	30804	6.1%
i	26744	5.3%
l	21064	4.2%
Other values (13)	104905	20.8%

Uppercase Letter

Value	Count	Frequency (%)
F	15089	16.4%
S	12995	14.1%
B	11265	12.2%
P	9401	10.2%
V	7619	8.3%
C	6932	7.5%
D	6859	7.4%
J	5860	6.4%
M	4272	4.6%
E	3091	3.4%
Other values (8)	8827	9.6%

Space Separator

Value	Count	Frequency (%)
	35922	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	596547	94.3%
Common	35922	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	75716	12.7%
a	59703	10.0%
s	47208	7.9%
o	38989	6.5%
r	33840	5.7%
n	33330	5.6%
t	32034	5.4%
d	30804	5.2%
i	26744	4.5%
l	21064	3.5%
Other values (31)	197115	33.0%

Common

Value	Count	Frequency (%)
	35922	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	632469	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	75716	12.0%
a	59703	9.4%
s	47208	7.5%
o	38989	6.2%
	35922	5.7%
r	33840	5.4%
n	33330	5.3%
t	32034	5.1%
d	30804	4.9%
i	26744	4.2%
Other values (32)	218179	34.5%

food_department
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Produce	8521
Snack Foods	6919
Household	6185
Frozen Foods	6126
Baking Goods	4497
Other values (17)	28180

Length

Max length	19
Median length	15
Mean length	10.10253525
Min length	4

Characters and Unicode

Total characters	610476
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Frozen Foods
2nd row	Frozen Foods
3rd row	Frozen Foods
4th row	Frozen Foods
5th row	Frozen Foods

Common Values

Value	Count	Frequency (%)
Produce	8521	14.1%
Snack Foods	6919	11.4%
Household	6185	10.2%
Frozen Foods	6126	10.1%
Baking Goods	4497	7.4%
Canned Foods	4238	7.0%
Dairy	3835	6.3%
Health and Hygiene	3807	6.3%
Beverages	3014	5.0%
Deli	2787	4.6%
Other values (12)	10499	17.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
foods	19164	20.1%
produce	8521	8.9%
snack	6919	7.2%
goods	6294	6.6%
household	6185	6.5%
frozen	6126	6.4%
canned	4638	4.9%
beverages	4604	4.8%
baking	4497	4.7%
dairy	3835	4.0%
Other values (16)	24707	25.9%

Most occurring characters

Value	Count	Frequency (%)
o	83844	13.7%
e	58406	9.6%
d	52152	8.5%
s	41111	6.7%
a	40057	6.6%
n	35970	5.9%
	35062	5.7%
r	26563	4.4%
F	25290	4.1%
c	23017	3.8%
Other values (21)	189004	31.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	483731	79.2%
Uppercase Letter	91683	15.0%
Space Separator	35062	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	83844	17.3%
e	58406	12.1%
d	52152	10.8%
s	41111	8.5%
a	40057	8.3%
n	35970	7.4%
r	26563	5.5%
c	23017	4.8%
i	18458	3.8%
l	17155	3.5%
Other values (9)	86998	18.0%

Uppercase Letter

Value	Count	Frequency (%)
F	25290	27.6%
H	13799	15.1%
B	11676	12.7%
S	9935	10.8%
P	9892	10.8%
D	6622	7.2%
G	6294	6.9%
C	5248	5.7%
A	1590	1.7%
E	952	1.0%

Space Separator

Value	Count	Frequency (%)
	35062	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	575414	94.3%
Common	35062	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	83844	14.6%
e	58406	10.2%
d	52152	9.1%
s	41111	7.1%
a	40057	7.0%
n	35970	6.3%
r	26563	4.6%
F	25290	4.4%
c	23017	4.0%
i	18458	3.2%
Other values (20)	170546	29.6%

Common

Value	Count	Frequency (%)
	35062	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	610476	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	83844	13.7%
e	58406	9.6%
d	52152	8.5%
s	41111	6.7%
a	40057	6.6%
n	35970	5.9%
	35062	5.7%
r	26563	4.4%
F	25290	4.1%
c	23017	3.8%
Other values (21)	189004	31.0%

food_family
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Food	43284
Non-Consumable	11573
Drink	5571

Length

Max length	14
Median length	4
Mean length	6.007364136
Min length	4

Characters and Unicode

Total characters	363013
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Food
2nd row	Food
3rd row	Food
4th row	Food
5th row	Food

Common Values

Value	Count	Frequency (%)
Food	43284	71.6%
Non-Consumable	11573	19.2%
Drink	5571	9.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
food	43284	71.6%
non-consumable	11573	19.2%
drink	5571	9.2%

Most occurring characters

Value	Count	Frequency (%)
o	109714	30.2%
F	43284	11.9%
d	43284	11.9%
n	28717	7.9%
e	11573	3.2%
l	11573	3.2%
b	11573	3.2%
a	11573	3.2%
m	11573	3.2%
u	11573	3.2%
Other values (8)	68576	18.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	279439	77.0%
Uppercase Letter	72001	19.8%
Dash Punctuation	11573	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	109714	39.3%
d	43284	15.5%
n	28717	10.3%
e	11573	4.1%
l	11573	4.1%
b	11573	4.1%
a	11573	4.1%
m	11573	4.1%
u	11573	4.1%
s	11573	4.1%
Other values (3)	16713	6.0%

Uppercase Letter

Value	Count	Frequency (%)
F	43284	60.1%
C	11573	16.1%
N	11573	16.1%
D	5571	7.7%

Dash Punctuation

Value	Count	Frequency (%)
-	11573	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	351440	96.8%
Common	11573	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	109714	31.2%
F	43284	12.3%
d	43284	12.3%
n	28717	8.2%
e	11573	3.3%
l	11573	3.3%
b	11573	3.3%
a	11573	3.3%
m	11573	3.3%
u	11573	3.3%
Other values (7)	57003	16.2%

Common

Value	Count	Frequency (%)
-	11573	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	363013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	109714	30.2%
F	43284	11.9%
d	43284	11.9%
n	28717	7.9%
e	11573	3.2%
l	11573	3.2%
b	11573	3.2%
a	11573	3.2%
m	11573	3.2%
u	11573	3.2%
Other values (8)	68576	18.9%

store_sales(in millions)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1033
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.541030648

Minimum	0.51
Maximum	22.92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	0.51
5-th percentile	1.8
Q1	3.81
median	5.94
Q3	8.67
95-th percentile	13.08
Maximum	22.92
Range	22.41
Interquartile range (IQR)	4.86

Descriptive statistics

Standard deviation	3.463046547
Coefficient of variation (CV)	0.5294343864
Kurtosis	0.09300234333
Mean	6.541030648
Median Absolute Deviation (MAD)	2.38
Skewness	0.6783827681
Sum	395261.4
Variance	11.99269139
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.04	311	0.5%
7.95	272	0.5%
5.4	270	0.4%
4.8	268	0.4%
7.41	265	0.4%
5.52	261	0.4%
6.84	257	0.4%
8.52	248	0.4%
3.6	244	0.4%
2.28	243	0.4%
Other values (1023)	57789	95.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.51	2	< 0.1%
0.52	3	< 0.1%
0.53	3	< 0.1%
0.54	1	< 0.1%
0.55	2	< 0.1%
0.56	1	< 0.1%
0.57	4	< 0.1%
0.58	3	< 0.1%
0.6	3	< 0.1%
0.61	2	< 0.1%

Value	Count	Frequency (%)
22.92	1	< 0.1%
19.9	5	< 0.1%
19.85	3	< 0.1%
19.8	3	< 0.1%
19.75	19	< 0.1%
19.7	5	< 0.1%
19.65	2	< 0.1%
19.6	3	< 0.1%
19.55	5	< 0.1%
19.5	3	< 0.1%

store_cost(in millions)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9919
Distinct (%)	16.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.619459501

Minimum	0.1632
Maximum	9.7265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	0.1632
5-th percentile	0.70937
Q1	1.5
median	2.3856
Q3	3.484025
95-th percentile	5.34452
Maximum	9.7265
Range	9.5633
Interquartile range (IQR)	1.984025

Descriptive statistics

Standard deviation	1.453008709
Coefficient of variation (CV)	0.5546979096
Kurtosis	0.5422317754
Mean	2.619459501
Median Absolute Deviation (MAD)	0.97585
Skewness	0.8329204966
Sum	158288.6987
Variance	2.111234309
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.512	71	0.1%
2.16	65	0.1%
3.024	64	0.1%
2.592	62	0.1%
1.728	62	0.1%
2.016	61	0.1%
1.584	58	0.1%
2.052	58	0.1%
2.352	57	0.1%
1.368	57	0.1%
Other values (9909)	59813	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1632	1	< 0.1%
0.1705	1	< 0.1%
0.176	1	< 0.1%
0.1792	1	< 0.1%
0.186	1	< 0.1%
0.1953	2	< 0.1%
0.2013	1	< 0.1%
0.2014	1	< 0.1%
0.2028	1	< 0.1%
0.2052	2	< 0.1%

Value	Count	Frequency (%)
9.7265	1	< 0.1%
9.5305	1	< 0.1%
9.525	1	< 0.1%
9.504	1	< 0.1%
9.408	1	< 0.1%
9.384	1	< 0.1%
9.3345	1	< 0.1%
9.2825	2	< 0.1%
9.2	1	< 0.1%
9.1885	1	< 0.1%

unit_sales(in millions)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.09316873

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	6
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8276769106
Coefficient of variation (CV)	0.2675822055
Kurtosis	-0.31897095
Mean	3.09316873
Median Absolute Deviation (MAD)	1
Skewness	0.05250417485
Sum	186914
Variance	0.6850490683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	27482	45.5%
4	16581	27.4%
2	13417	22.2%
5	2058	3.4%
1	864	1.4%
6	26	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	864	1.4%
2	13417	22.2%
3	27482	45.5%
4	16581	27.4%
5	2058	3.4%
6	26	< 0.1%

Value	Count	Frequency (%)
6	26	< 0.1%
5	2058	3.4%
4	16581	27.4%
3	27482	45.5%
2	13417	22.2%
1	864	1.4%

promotion_name
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Weekend Markdown	2330
Two Day Sale	2321
Price Savers	2279
Price Winners	2108
Save-It Sale	2001
Other values (44)	49389

Length

Max length	23
Median length	21
Mean length	14.17084795
Min length	9

Characters and Unicode

Total characters	856316
Distinct characters	43
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bag Stuffers
2nd row	Cash Register Lottery
3rd row	High Roller Savings
4th row	Cash Register Lottery
5th row	Double Down Sale

Common Values

Value	Count	Frequency (%)
Weekend Markdown	2330	3.9%
Two Day Sale	2321	3.8%
Price Savers	2279	3.8%
Price Winners	2108	3.5%
Save-It Sale	2001	3.3%
Super Duper Savers	1986	3.3%
Super Savers	1930	3.2%
One Day Sale	1843	3.0%
Double Down Sale	1755	2.9%
High Roller Savings	1741	2.9%
Other values (39)	40134	66.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sale	10313	6.8%
price	10173	6.7%
savers	9898	6.5%
days	7459	4.9%
savings	6401	4.2%
for	5677	3.7%
one	4378	2.9%
super	4305	2.8%
day	4164	2.7%
two	3814	2.5%
Other values (58)	85647	56.3%

Most occurring characters

Value	Count	Frequency (%)
e	105202	12.3%
	91801	10.7%
r	65194	7.6%
a	64785	7.6%
s	49554	5.8%
S	44145	5.2%
i	40668	4.7%
l	38186	4.5%
o	35283	4.1%
n	34382	4.0%
Other values (33)	287116	33.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	610819	71.3%
Uppercase Letter	151695	17.7%
Space Separator	91801	10.7%
Dash Punctuation	2001	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	105202	17.2%
r	65194	10.7%
a	64785	10.6%
s	49554	8.1%
i	40668	6.7%
l	38186	6.3%
o	35283	5.8%
n	34382	5.6%
t	26454	4.3%
v	21700	3.6%
Other values (12)	129411	21.2%

Uppercase Letter

Value	Count	Frequency (%)
S	44145	29.1%
D	23433	15.4%
P	12221	8.1%
B	8925	5.9%
T	8805	5.8%
C	7044	4.6%
W	6345	4.2%
G	5929	3.9%
O	5528	3.6%
I	5466	3.6%
Other values (9)	23854	15.7%

Space Separator

Value	Count	Frequency (%)
	91801	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2001	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	762514	89.0%
Common	93802	11.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	105202	13.8%
r	65194	8.5%
a	64785	8.5%
s	49554	6.5%
S	44145	5.8%
i	40668	5.3%
l	38186	5.0%
o	35283	4.6%
n	34382	4.5%
t	26454	3.5%
Other values (31)	258661	33.9%

Common

Value	Count	Frequency (%)
	91801	97.9%
-	2001	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	856316	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	105202	12.3%
	91801	10.7%
r	65194	7.6%
a	64785	7.6%
s	49554	5.8%
S	44145	5.2%
i	40668	4.7%
l	38186	4.5%
o	35283	4.1%
n	34382	4.0%
Other values (33)	287116	33.5%

sales_country
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

USA	38892
Mexico	17572
Canada	3964

Length

Max length	6
Median length	3
Mean length	4.069173231
Min length	3

Characters and Unicode

Total characters	245892
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USA
2nd row	USA
3rd row	USA
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	38892	64.4%
Mexico	17572	29.1%
Canada	3964	6.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usa	38892	64.4%
mexico	17572	29.1%
canada	3964	6.6%

Most occurring characters

Value	Count	Frequency (%)
U	38892	15.8%
S	38892	15.8%
A	38892	15.8%
M	17572	7.1%
e	17572	7.1%
x	17572	7.1%
i	17572	7.1%
c	17572	7.1%
o	17572	7.1%
a	11892	4.8%
Other values (3)	11892	4.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	138212	56.2%
Lowercase Letter	107680	43.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17572	16.3%
x	17572	16.3%
i	17572	16.3%
c	17572	16.3%
o	17572	16.3%
a	11892	11.0%
n	3964	3.7%
d	3964	3.7%

Uppercase Letter

Value	Count	Frequency (%)
U	38892	28.1%
S	38892	28.1%
A	38892	28.1%
M	17572	12.7%
C	3964	2.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	245892	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	38892	15.8%
S	38892	15.8%
A	38892	15.8%
M	17572	7.1%
e	17572	7.1%
x	17572	7.1%
i	17572	7.1%
c	17572	7.1%
o	17572	7.1%
a	11892	4.8%
Other values (3)	11892	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	245892	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	38892	15.8%
S	38892	15.8%
A	38892	15.8%
M	17572	7.1%
e	17572	7.1%
x	17572	7.1%
i	17572	7.1%
c	17572	7.1%
o	17572	7.1%
a	11892	4.8%
Other values (3)	11892	4.8%

marital_status
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

S	30355
M	30073

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	60428
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	S
4th row	M
5th row	M

Common Values

Value	Count	Frequency (%)
S	30355	50.2%
M	30073	49.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
s	30355	50.2%
m	30073	49.8%

Most occurring characters

Value	Count	Frequency (%)
S	30355	50.2%
M	30073	49.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	60428	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	30355	50.2%
M	30073	49.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60428	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	30355	50.2%
M	30073	49.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60428	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	30355	50.2%
M	30073	49.8%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

F	30942
M	29486

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	60428
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	M
3rd row	F
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
F	30942	51.2%
M	29486	48.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
f	30942	51.2%
m	29486	48.8%

Most occurring characters

Value	Count	Frequency (%)
F	30942	51.2%
M	29486	48.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	60428	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	30942	51.2%
M	29486	48.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60428	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	30942	51.2%
M	29486	48.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	60428	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	30942	51.2%
M	29486	48.8%

total_children
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.533875025

Minimum	0
Maximum	5
Zeros	5624
Zeros (%)	9.3%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.490164786
Coefficient of variation (CV)	0.5880971918
Kurtosis	-1.03956372
Mean	2.533875025
Median Absolute Deviation (MAD)	1
Skewness	-0.01498392606
Sum	153117
Variance	2.22059109
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2	12518	20.7%
4	12427	20.6%
3	11921	19.7%
1	11770	19.5%
5	6168	10.2%
0	5624	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5624	9.3%
1	11770	19.5%
2	12518	20.7%
3	11921	19.7%
4	12427	20.6%
5	6168	10.2%

Value	Count	Frequency (%)
5	6168	10.2%
4	12427	20.6%
3	11921	19.7%
2	12518	20.7%
1	11770	19.5%
0	5624	9.3%

education
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Partial High School	18201
High School Degree	17838
Bachelors Degree	15994
Partial College	5284
Graduate Degree	3111

Length

Max length	19
Median length	18
Mean length	17.35506719
Min length	15

Characters and Unicode

Total characters	1048732
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Partial High School
2nd row	Bachelors Degree
3rd row	Partial High School
4th row	High School Degree
5th row	Partial High School

Common Values

Value	Count	Frequency (%)
Partial High School	18201	30.1%
High School Degree	17838	29.5%
Bachelors Degree	15994	26.5%
Partial College	5284	8.7%
Graduate Degree	3111	5.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
degree	36943	23.5%
high	36039	23.0%
school	36039	23.0%
partial	23485	15.0%
bachelors	15994	10.2%
college	5284	3.4%
graduate	3111	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	140502	13.4%
	96467	9.2%
o	93356	8.9%
h	88072	8.4%
l	86086	8.2%
r	79533	7.6%
g	78266	7.5%
a	69186	6.6%
i	59524	5.7%
c	52033	5.0%
Other values (11)	205707	19.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	795370	75.8%
Uppercase Letter	156895	15.0%
Space Separator	96467	9.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	140502	17.7%
o	93356	11.7%
h	88072	11.1%
l	86086	10.8%
r	79533	10.0%
g	78266	9.8%
a	69186	8.7%
i	59524	7.5%
c	52033	6.5%
t	26596	3.3%
Other values (3)	22216	2.8%

Uppercase Letter

Value	Count	Frequency (%)
D	36943	23.5%
S	36039	23.0%
H	36039	23.0%
P	23485	15.0%
B	15994	10.2%
C	5284	3.4%
G	3111	2.0%

Space Separator

Value	Count	Frequency (%)
	96467	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	952265	90.8%
Common	96467	9.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	140502	14.8%
o	93356	9.8%
h	88072	9.2%
l	86086	9.0%
r	79533	8.4%
g	78266	8.2%
a	69186	7.3%
i	59524	6.3%
c	52033	5.5%
D	36943	3.9%
Other values (10)	168764	17.7%

Common

Value	Count	Frequency (%)
	96467	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1048732	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	140502	13.4%
	96467	9.2%
o	93356	8.9%
h	88072	8.4%
l	86086	8.2%
r	79533	7.6%
g	78266	7.5%
a	69186	6.6%
i	59524	5.7%
c	52033	5.0%
Other values (11)	205707	19.6%

member_card
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Bronze	33807
Normal	13867
Golden	7556
Silver	5198

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	362568
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Silver
3rd row	Normal
4th row	Bronze
5th row	Bronze

Common Values

Value	Count	Frequency (%)
Bronze	33807	55.9%
Normal	13867	22.9%
Golden	7556	12.5%
Silver	5198	8.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bronze	33807	55.9%
normal	13867	22.9%
golden	7556	12.5%
silver	5198	8.6%

Most occurring characters

Value	Count	Frequency (%)
o	55230	15.2%
r	52872	14.6%
e	46561	12.8%
n	41363	11.4%
B	33807	9.3%
z	33807	9.3%
l	26621	7.3%
N	13867	3.8%
m	13867	3.8%
a	13867	3.8%
Other values (5)	30706	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	302140	83.3%
Uppercase Letter	60428	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	55230	18.3%
r	52872	17.5%
e	46561	15.4%
n	41363	13.7%
z	33807	11.2%
l	26621	8.8%
m	13867	4.6%
a	13867	4.6%
d	7556	2.5%
i	5198	1.7%

Uppercase Letter

Value	Count	Frequency (%)
B	33807	55.9%
N	13867	22.9%
G	7556	12.5%
S	5198	8.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	362568	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	55230	15.2%
r	52872	14.6%
e	46561	12.8%
n	41363	11.4%
B	33807	9.3%
z	33807	9.3%
l	26621	7.3%
N	13867	3.8%
m	13867	3.8%
a	13867	3.8%
Other values (5)	30706	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	362568	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	55230	15.2%
r	52872	14.6%
e	46561	12.8%
n	41363	11.4%
B	33807	9.3%
z	33807	9.3%
l	26621	7.3%
N	13867	3.8%
m	13867	3.8%
a	13867	3.8%
Other values (5)	30706	8.5%

occupation
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Professional	19915
Skilled Manual	15995
Manual	14624
Management	8805
Clerical	1089

Length

Max length	14
Median length	12
Mean length	10.71384127
Min length	6

Characters and Unicode

Total characters	647416
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Skilled Manual
2nd row	Professional
3rd row	Manual
4th row	Manual
5th row	Skilled Manual

Common Values

Value	Count	Frequency (%)
Professional	19915	33.0%
Skilled Manual	15995	26.5%
Manual	14624	24.2%
Management	8805	14.6%
Clerical	1089	1.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
manual	30619	40.1%
professional	19915	26.1%
skilled	15995	20.9%
management	8805	11.5%
clerical	1089	1.4%

Most occurring characters

Value	Count	Frequency (%)
a	99852	15.4%
l	84702	13.1%
n	68144	10.5%
e	54609	8.4%
o	39830	6.2%
s	39830	6.2%
M	39424	6.1%
i	36999	5.7%
u	30619	4.7%
r	21004	3.2%
Other values (11)	132403	20.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	554998	85.7%
Uppercase Letter	76423	11.8%
Space Separator	15995	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	99852	18.0%
l	84702	15.3%
n	68144	12.3%
e	54609	9.8%
o	39830	7.2%
s	39830	7.2%
i	36999	6.7%
u	30619	5.5%
r	21004	3.8%
f	19915	3.6%
Other values (6)	59494	10.7%

Uppercase Letter

Value	Count	Frequency (%)
M	39424	51.6%
P	19915	26.1%
S	15995	20.9%
C	1089	1.4%

Space Separator

Value	Count	Frequency (%)
	15995	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	631421	97.5%
Common	15995	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	99852	15.8%
l	84702	13.4%
n	68144	10.8%
e	54609	8.6%
o	39830	6.3%
s	39830	6.3%
M	39424	6.2%
i	36999	5.9%
u	30619	4.8%
r	21004	3.3%
Other values (10)	116408	18.4%

Common

Value	Count	Frequency (%)
	15995	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	647416	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	99852	15.4%
l	84702	13.1%
n	68144	10.5%
e	54609	8.4%
o	39830	6.2%
s	39830	6.2%
M	39424	6.1%
i	36999	5.7%
u	30619	4.7%
r	21004	3.2%
Other values (11)	132403	20.5%

houseowner
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	59.1 KiB

True	36510
False	23918

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	36510	60.4%
False	23918	39.6%

avg_cars_at home(approx)
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

2.0	18268
3.0	16961
1.0	13643
4.0	7974
0.0	3582

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	18268	30.2%
3.0	16961	28.1%
1.0	13643	22.6%
4.0	7974	13.2%
0.0	3582	5.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	18268	30.2%
3.0	16961	28.1%
1.0	13643	22.6%
4.0	7974	13.2%
0.0	3582	5.9%

Most occurring characters

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64010	53.0%
2	18268	15.1%
3	16961	14.0%
1	13643	11.3%
4	7974	6.6%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

avg. yearly_income
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

$30K - $50K	19514
$10K - $30K	12959
$50K - $70K	10493
$70K - $90K	7544
$130K - $150K	3410
Other values (3)	6508

Length

Max length	13
Median length	11
Mean length	11.16570133
Min length	7

Characters and Unicode

Total characters	674721
Distinct characters	11
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	$10K - $30K
2nd row	$50K - $70K
3rd row	$10K - $30K
4th row	$30K - $50K
5th row	$30K - $50K

Common Values

Value	Count	Frequency (%)
$30K - $50K	19514	32.3%
$10K - $30K	12959	21.4%
$50K - $70K	10493	17.4%
$70K - $90K	7544	12.5%
$130K - $150K	3410	5.6%
$90K - $110K	2737	4.5%
$110K - $130K	2590	4.3%
$150K +	1181	2.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
	60428	33.6%
30k	32473	18.0%
50k	30007	16.7%
70k	18037	10.0%
10k	12959	7.2%
90k	10281	5.7%
130k	6000	3.3%
110k	5327	3.0%
150k	4591	2.5%

Most occurring characters

Value	Count	Frequency (%)
$	119675	17.7%
0	119675	17.7%
K	119675	17.7%
	119675	17.7%
-	59247	8.8%
3	38473	5.7%
5	34598	5.1%
1	34204	5.1%
7	18037	2.7%
9	10281	1.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	255268	37.8%
Currency Symbol	119675	17.7%
Uppercase Letter	119675	17.7%
Space Separator	119675	17.7%
Dash Punctuation	59247	8.8%
Math Symbol	1181	0.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	119675	46.9%
3	38473	15.1%
5	34598	13.6%
1	34204	13.4%
7	18037	7.1%
9	10281	4.0%

Currency Symbol

Value	Count	Frequency (%)
$	119675	100.0%

Uppercase Letter

Value	Count	Frequency (%)
K	119675	100.0%

Space Separator

Value	Count	Frequency (%)
	119675	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59247	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1181	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	555046	82.3%
Latin	119675	17.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
$	119675	21.6%
0	119675	21.6%
	119675	21.6%
-	59247	10.7%
3	38473	6.9%
5	34598	6.2%
1	34204	6.2%
7	18037	3.2%
9	10281	1.9%
+	1181	0.2%

Latin

Value	Count	Frequency (%)
K	119675	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	674721	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
$	119675	17.7%
0	119675	17.7%
K	119675	17.7%
	119675	17.7%
-	59247	8.8%
3	38473	5.7%
5	34598	5.1%
1	34204	5.1%
7	18037	2.7%
9	10281	1.5%

num_children_at_home
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8293506322

Minimum	0
Maximum	5
Zeros	37609
Zeros (%)	62.2%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.303423873
Coefficient of variation (CV)	1.571619798
Kurtosis	1.467237541
Mean	0.8293506322
Median Absolute Deviation (MAD)	0
Skewness	1.554279648
Sum	50116
Variance	1.698913792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	37609	62.2%
1	8811	14.6%
2	5841	9.7%
3	4391	7.3%
4	2430	4.0%
5	1346	2.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	37609	62.2%
1	8811	14.6%
2	5841	9.7%
3	4391	7.3%
4	2430	4.0%
5	1346	2.2%

Value	Count	Frequency (%)
5	1346	2.2%
4	2430	4.0%
3	4391	7.3%
2	5841	9.7%
1	8811	14.6%
0	37609	62.2%

avg_cars_at home(approx).1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

2.0	18268
3.0	16961
1.0	13643
4.0	7974
0.0	3582

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	4.0
3rd row	1.0
4th row	2.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	18268	30.2%
3.0	16961	28.1%
1.0	13643	22.6%
4.0	7974	13.2%
0.0	3582	5.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.0	18268	30.2%
3.0	16961	28.1%
1.0	13643	22.6%
4.0	7974	13.2%
0.0	3582	5.9%

Most occurring characters

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	64010	53.0%
2	18268	15.1%
3	16961	14.0%
1	13643	11.3%
4	7974	6.6%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	64010	35.3%
.	60428	33.3%
2	18268	10.1%
3	16961	9.4%
1	13643	7.5%
4	7974	4.4%

brand_name
Categorical

HIGH CARDINALITY

Distinct	111
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Hermanos	1839
Ebony	1729
Tell Tale	1728
Tri-State	1633
High Top	1592
Other values (106)	51907

Length

Max length	13
Median length	10
Mean length	7.521993116
Min length	3

Characters and Unicode

Total characters	454539
Distinct characters	46
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Carrington
2nd row	Carrington
3rd row	Carrington
4th row	Carrington
5th row	Golden

Common Values

Value	Count	Frequency (%)
Hermanos	1839	3.0%
Ebony	1729	2.9%
Tell Tale	1728	2.9%
Tri-State	1633	2.7%
High Top	1592	2.6%
Horatio	1436	2.4%
Nationeel	1425	2.4%
Fast	1405	2.3%
Fort West	1349	2.2%
Sunset	1331	2.2%
Other values (101)	44961	74.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
high	2805	3.6%
best	2637	3.4%
top	1961	2.5%
hermanos	1839	2.4%
red	1831	2.3%
better	1735	2.2%
ebony	1729	2.2%
tale	1728	2.2%
tell	1728	2.2%
tri-state	1633	2.1%
Other values (115)	58415	74.9%

Most occurring characters

Value	Count	Frequency (%)
e	43594	9.6%
a	34134	7.5%
t	33830	7.4%
o	33500	7.4%
i	29099	6.4%
l	27976	6.2%
n	26881	5.9%
r	23548	5.2%
s	19242	4.2%
	17613	3.9%
Other values (36)	165122	36.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	350038	77.0%
Uppercase Letter	85255	18.8%
Space Separator	17613	3.9%
Dash Punctuation	1633	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	43594	12.5%
a	34134	9.8%
t	33830	9.7%
o	33500	9.6%
i	29099	8.3%
l	27976	8.0%
n	26881	7.7%
r	23548	6.7%
s	19242	5.5%
u	11873	3.4%
Other values (13)	66361	19.0%

Uppercase Letter

Value	Count	Frequency (%)
B	12675	14.9%
T	10586	12.4%
C	9703	11.4%
H	6883	8.1%
S	6806	8.0%
P	4566	5.4%
F	4519	5.3%
R	4067	4.8%
G	3730	4.4%
E	3707	4.3%
Other values (11)	18013	21.1%

Space Separator

Value	Count	Frequency (%)
	17613	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1633	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	435293	95.8%
Common	19246	4.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	43594	10.0%
a	34134	7.8%
t	33830	7.8%
o	33500	7.7%
i	29099	6.7%
l	27976	6.4%
n	26881	6.2%
r	23548	5.4%
s	19242	4.4%
B	12675	2.9%
Other values (34)	150814	34.6%

Common

Value	Count	Frequency (%)
	17613	91.5%
-	1633	8.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	454539	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	43594	9.6%
a	34134	7.5%
t	33830	7.4%
o	33500	7.4%
i	29099	6.4%
l	27976	6.2%
n	26881	5.9%
r	23548	5.2%
s	19242	4.2%
	17613	3.9%
Other values (36)	165122	36.3%

SRP
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	315
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.115258489

Minimum	0.5
Maximum	3.98
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	0.5
5-th percentile	0.64
Q1	1.41
median	2.13
Q3	2.79
95-th percentile	3.75
Maximum	3.98
Range	3.48
Interquartile range (IQR)	1.38

Descriptive statistics

Standard deviation	0.9328285609
Coefficient of variation (CV)	0.4409997953
Kurtosis	-0.8945267185
Mean	2.115258489
Median Absolute Deviation (MAD)	0.69
Skewness	0.1379245501
Sum	127820.84
Variance	0.8701691241
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.65	585	1.0%
2.47	558	0.9%
2.59	465	0.8%
1.68	453	0.7%
2.7	414	0.7%
1.55	411	0.7%
2.95	405	0.7%
2.76	394	0.7%
1.74	386	0.6%
2.13	382	0.6%
Other values (305)	55975	92.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.5	75	0.1%
0.51	228	0.4%
0.52	105	0.2%
0.53	324	0.5%
0.54	178	0.3%
0.55	238	0.4%
0.56	184	0.3%
0.57	347	0.6%
0.58	162	0.3%
0.59	188	0.3%

Value	Count	Frequency (%)
3.98	205	0.3%
3.97	127	0.2%
3.96	114	0.2%
3.95	321	0.5%
3.94	80	0.1%
3.93	149	0.2%
3.92	65	0.1%
3.91	206	0.3%
3.9	48	0.1%
3.89	158	0.3%

gross_weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	376
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.80643311

Minimum	6
Maximum	21.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	6
5-th percentile	6.96
Q1	9.7
median	13.6
Q3	17.7
95-th percentile	21.2
Maximum	21.9
Range	15.9
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.622692755
Coefficient of variation (CV)	0.3348216529
Kurtosis	-1.231772194
Mean	13.80643311
Median Absolute Deviation (MAD)	4
Skewness	0.09297548278
Sum	834295.14
Variance	21.36928831
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17.1	704	1.2%
19.9	624	1.0%
14.7	621	1.0%
17.2	588	1.0%
20.9	563	0.9%
13.7	558	0.9%
13.2	551	0.9%
16.1	551	0.9%
14.5	542	0.9%
18.7	535	0.9%
Other values (366)	54591	90.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	42	0.1%
6.03	32	0.1%
6.04	40	0.1%
6.06	51	0.1%
6.09	33	0.1%
6.11	78	0.1%
6.12	39	0.1%
6.13	41	0.1%
6.14	67	0.1%
6.15	40	0.1%

Value	Count	Frequency (%)
21.9	500	0.8%
21.8	530	0.9%
21.7	509	0.8%
21.6	315	0.5%
21.5	299	0.5%
21.4	293	0.5%
21.3	453	0.7%
21.2	497	0.8%
21.1	293	0.5%
21	407	0.7%

net_weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	332
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.79628914

Minimum	3.05
Maximum	20.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	3.05
5-th percentile	4.94
Q1	7.71
median	11.6
Q3	16
95-th percentile	19.2
Maximum	20.8
Range	17.75
Interquartile range (IQR)	8.29

Descriptive statistics

Standard deviation	4.682986189
Coefficient of variation (CV)	0.3969880811
Kurtosis	-1.193367589
Mean	11.79628914
Median Absolute Deviation (MAD)	4.1
Skewness	0.1066776009
Sum	712826.16
Variance	21.93035964
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16.2	1001	1.7%
11.6	951	1.6%
10.6	904	1.5%
11.1	814	1.3%
16.7	809	1.3%
18.7	778	1.3%
19.7	777	1.3%
15.2	774	1.3%
11.3	769	1.3%
16.6	717	1.2%
Other values (322)	52134	86.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3.05	51	0.1%
3.09	33	0.1%
3.11	75	0.1%
3.13	36	0.1%
3.28	36	0.1%
3.3	44	0.1%
3.38	38	0.1%
3.4	32	0.1%
3.42	31	0.1%
3.59	32	0.1%

Value	Count	Frequency (%)
20.8	89	0.1%
20.7	251	0.4%
20.6	149	0.2%
20.5	33	0.1%
20.3	74	0.1%
20.2	307	0.5%
20.1	192	0.3%
20	139	0.2%
19.8	294	0.5%
19.7	777	1.3%

recyclable_package
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

1.0	33759
0.0	26669

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
1.0	33759	55.9%
0.0	26669	44.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	33759	55.9%
0.0	26669	44.1%

Most occurring characters

Value	Count	Frequency (%)
0	87097	48.0%
.	60428	33.3%
1	33759	18.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	87097	72.1%
1	33759	27.9%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	87097	48.0%
.	60428	33.3%
1	33759	18.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	87097	48.0%
.	60428	33.3%
1	33759	18.6%

low_fat
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

0.0	39252
1.0	21176

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	39252	65.0%
1.0	21176	35.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	39252	65.0%
1.0	21176	35.0%

Most occurring characters

Value	Count	Frequency (%)
0	99680	55.0%
.	60428	33.3%
1	21176	11.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	99680	82.5%
1	21176	17.5%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	99680	55.0%
.	60428	33.3%
1	21176	11.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	99680	55.0%
.	60428	33.3%
1	21176	11.7%

units_per_case
Real number (ℝ_≥0)

Distinct	36
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.86069372

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	10
median	19
Q3	28
95-th percentile	34
Maximum	36
Range	35
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	10.25855474
Coefficient of variation (CV)	0.543911846
Kurtosis	-1.251866292
Mean	18.86069372
Median Absolute Deviation (MAD)	9
Skewness	-0.08362695217
Sum	1139714
Variance	105.2379453
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=36)

Value	Count	Frequency (%)
29	2294	3.8%
6	2285	3.8%
33	2217	3.7%
31	2107	3.5%
23	2085	3.5%
30	2073	3.4%
26	2013	3.3%
25	1993	3.3%
5	1958	3.2%
9	1950	3.2%
Other values (26)	39453	65.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	952	1.6%
2	1558	2.6%
3	1877	3.1%
4	1573	2.6%
5	1958	3.2%
6	2285	3.8%
7	1480	2.4%
8	1364	2.3%
9	1950	3.2%
10	1387	2.3%

Value	Count	Frequency (%)
36	749	1.2%
35	1577	2.6%
34	1740	2.9%
33	2217	3.7%
32	1607	2.7%
31	2107	3.5%
30	2073	3.4%
29	2294	3.8%
28	1536	2.5%
27	1632	2.7%

store_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Supermarket	26192
Deluxe Supermarket	22954
Gourmet Supermarket	6503
Mid-Size Grocery	2846
Small Grocery	1933

Length

Max length	19
Median length	18
Mean length	14.81938836
Min length	11

Characters and Unicode

Total characters	895506
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Deluxe Supermarket
2nd row	Deluxe Supermarket
3rd row	Deluxe Supermarket
4th row	Deluxe Supermarket
5th row	Deluxe Supermarket

Common Values

Value	Count	Frequency (%)
Supermarket	26192	43.3%
Deluxe Supermarket	22954	38.0%
Gourmet Supermarket	6503	10.8%
Mid-Size Grocery	2846	4.7%
Small Grocery	1933	3.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
supermarket	55649	58.8%
deluxe	22954	24.2%
gourmet	6503	6.9%
grocery	4779	5.0%
mid-size	2846	3.0%
small	1933	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	171334	19.1%
r	127359	14.2%
u	85106	9.5%
m	64085	7.2%
t	62152	6.9%
S	60428	6.7%
a	57582	6.4%
p	55649	6.2%
k	55649	6.2%
	34236	3.8%
Other values (12)	121926	13.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	760914	85.0%
Uppercase Letter	97510	10.9%
Space Separator	34236	3.8%
Dash Punctuation	2846	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	171334	22.5%
r	127359	16.7%
u	85106	11.2%
m	64085	8.4%
t	62152	8.2%
a	57582	7.6%
p	55649	7.3%
k	55649	7.3%
l	26820	3.5%
x	22954	3.0%
Other values (6)	32224	4.2%

Uppercase Letter

Value	Count	Frequency (%)
S	60428	62.0%
D	22954	23.5%
G	11282	11.6%
M	2846	2.9%

Space Separator

Value	Count	Frequency (%)
	34236	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2846	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	858424	95.9%
Common	37082	4.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	171334	20.0%
r	127359	14.8%
u	85106	9.9%
m	64085	7.5%
t	62152	7.2%
S	60428	7.0%
a	57582	6.7%
p	55649	6.5%
k	55649	6.5%
l	26820	3.1%
Other values (10)	92260	10.7%

Common

Value	Count	Frequency (%)
	34236	92.3%
-	2846	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	895506	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	171334	19.1%
r	127359	14.2%
u	85106	9.5%
m	64085	7.2%
t	62152	6.9%
S	60428	6.7%
a	57582	6.4%
p	55649	6.2%
k	55649	6.2%
	34236	3.8%
Other values (12)	121926	13.6%

store_city
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Tacoma	5704
Salem	5478
Portland	5150
Seattle	5051
Hidalgo	4761
Other values (14)	34284

Length

Max length	13
Median length	10
Mean length	7.904564109
Min length	5

Characters and Unicode

Total characters	477657
Distinct characters	37
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Salem
2nd row	Salem
3rd row	Salem
4th row	Salem
5th row	Salem

Common Values

Value	Count	Frequency (%)
Tacoma	5704	9.4%
Salem	5478	9.1%
Portland	5150	8.5%
Seattle	5051	8.4%
Hidalgo	4761	7.9%
Merida	4498	7.4%
Spokane	4453	7.4%
Beverly Hills	4151	6.9%
Los Angeles	3960	6.6%
Bremerton	3451	5.7%
Other values (9)	13771	22.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tacoma	5704	8.1%
salem	5478	7.7%
portland	5150	7.3%
seattle	5051	7.1%
hidalgo	4761	6.7%
merida	4498	6.4%
spokane	4453	6.3%
beverly	4151	5.9%
hills	4151	5.9%
los	3960	5.6%
Other values (13)	23360	33.0%

Most occurring characters

Value	Count	Frequency (%)
a	60687	12.7%
e	53145	11.1%
l	40220	8.4%
o	37479	7.8%
r	28508	6.0%
n	22675	4.7%
i	21475	4.5%
t	20678	4.3%
c	17993	3.8%
m	17696	3.7%
Other values (27)	157101	32.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	396651	83.0%
Uppercase Letter	70717	14.8%
Space Separator	10289	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	60687	15.3%
e	53145	13.4%
l	40220	10.1%
o	37479	9.4%
r	28508	7.2%
n	22675	5.7%
i	21475	5.4%
t	20678	5.2%
c	17993	4.5%
m	17696	4.5%
Other values (13)	76095	19.2%

Uppercase Letter

Value	Count	Frequency (%)
S	15765	22.3%
H	8912	12.6%
B	8313	11.8%
M	5893	8.3%
T	5704	8.1%
A	5466	7.7%
P	5150	7.3%
V	3964	5.6%
L	3960	5.6%
C	3747	5.3%
Other values (3)	3843	5.4%

Space Separator

Value	Count	Frequency (%)
	10289	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	467368	97.8%
Common	10289	2.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	60687	13.0%
e	53145	11.4%
l	40220	8.6%
o	37479	8.0%
r	28508	6.1%
n	22675	4.9%
i	21475	4.6%
t	20678	4.4%
c	17993	3.8%
m	17696	3.8%
Other values (26)	146812	31.4%

Common

Value	Count	Frequency (%)
	10289	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	477657	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	60687	12.7%
e	53145	11.1%
l	40220	8.4%
o	37479	7.8%
r	28508	6.0%
n	22675	4.7%
i	21475	4.5%
t	20678	4.3%
c	17993	3.8%
m	17696	3.7%
Other values (27)	157101	32.9%

store_state
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

WA	19370
OR	10628
CA	8894
Zacatecas	7113
Yucatan	4498
Other values (5)	9925

Length

Max length	9
Median length	2
Mean length	3.642251936
Min length	2

Characters and Unicode

Total characters	220094
Distinct characters	25
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	OR
2nd row	OR
3rd row	OR
4th row	OR
5th row	OR

Common Values

Value	Count	Frequency (%)
WA	19370	32.1%
OR	10628	17.6%
CA	8894	14.7%
Zacatecas	7113	11.8%
Yucatan	4498	7.4%
BC	3964	6.6%
Veracruz	2621	4.3%
Guerrero	1506	2.5%
DF	1395	2.3%
Jalisco	439	0.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
wa	19370	32.1%
or	10628	17.6%
ca	8894	14.7%
zacatecas	7113	11.8%
yucatan	4498	7.4%
bc	3964	6.6%
veracruz	2621	4.3%
guerrero	1506	2.5%
df	1395	2.3%
jalisco	439	0.7%

Most occurring characters

Value	Count	Frequency (%)
a	33395	15.2%
A	28264	12.8%
c	21784	9.9%
W	19370	8.8%
C	12858	5.8%
e	12746	5.8%
t	11611	5.3%
O	10628	4.8%
R	10628	4.8%
r	9760	4.4%
Other values (15)	49050	22.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	115415	52.4%
Uppercase Letter	104679	47.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	28264	27.0%
W	19370	18.5%
C	12858	12.3%
O	10628	10.2%
R	10628	10.2%
Z	7113	6.8%
Y	4498	4.3%
B	3964	3.8%
V	2621	2.5%
G	1506	1.4%
Other values (3)	3229	3.1%

Lowercase Letter

Value	Count	Frequency (%)
a	33395	28.9%
c	21784	18.9%
e	12746	11.0%
t	11611	10.1%
r	9760	8.5%
u	8625	7.5%
s	7552	6.5%
n	4498	3.9%
z	2621	2.3%
o	1945	1.7%
Other values (2)	878	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	220094	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	33395	15.2%
A	28264	12.8%
c	21784	9.9%
W	19370	8.8%
C	12858	5.8%
e	12746	5.8%
t	11611	5.3%
O	10628	4.8%
R	10628	4.8%
r	9760	4.4%
Other values (15)	49050	22.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	220094	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	33395	15.2%
A	28264	12.8%
c	21784	9.9%
W	19370	8.8%
C	12858	5.8%
e	12746	5.8%
t	11611	5.3%
O	10628	4.8%
R	10628	4.8%
r	9760	4.4%
Other values (15)	49050	22.3%

store_sqft
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27988.47749

Minimum	20319
Maximum	39696
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	20319
5-th percentile	20319
Q1	23593
median	27694
Q3	30797
95-th percentile	39696
Maximum	39696
Range	19377
Interquartile range (IQR)	7204

Descriptive statistics

Standard deviation	5701.02209
Coefficient of variation (CV)	0.2036917546
Kurtosis	-0.9371595153
Mean	27988.47749
Median Absolute Deviation (MAD)	4101
Skewness	0.3866785371
Sum	1691287718
Variance	32501652.87
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
33858	5704	9.4%
27694	5478	9.1%
20319	5150	8.5%
21215	5051	8.4%
30797	4498	7.4%
30268	4453	7.4%
23688	4151	6.9%
23598	3960	6.6%
30584	3890	6.4%
39696	3451	5.7%
Other values (10)	14642	24.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20319	5150	8.5%
21215	5051	8.4%
22478	783	1.3%
23112	3384	5.6%
23593	1506	2.5%
23598	3960	6.6%
23688	4151	6.9%
23759	2352	3.9%
24597	439	0.7%
27694	5478	9.1%

Value	Count	Frequency (%)
39696	3451	5.7%
38382	871	1.4%
36509	1395	2.3%
34791	2621	4.3%
34452	580	1.0%
33858	5704	9.4%
30797	4498	7.4%
30584	3890	6.4%
30268	4453	7.4%
28206	711	1.2%

grocery_sqft
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19133.7997

Minimum	13305
Maximum	30351
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	13305
5-th percentile	13305
Q1	16232
median	18670
Q3	22123
95-th percentile	26354
Maximum	30351
Range	17046
Interquartile range (IQR)	5891

Descriptive statistics

Standard deviation	3987.395735
Coefficient of variation (CV)	0.2083953944
Kurtosis	-0.5421637949
Mean	19133.7997
Median Absolute Deviation (MAD)	3333
Skewness	0.3853139027
Sum	1156217248
Variance	15899324.74
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
22123	5704	9.4%
18670	5478	9.1%
16232	5150	8.5%
13305	5051	8.4%
20141	4498	7.4%
22063	4453	7.4%
15337	4151	6.9%
14210	3960	6.6%
21938	3890	6.4%
24390	3451	5.7%
Other values (10)	14642	24.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
13305	5051	8.4%
14210	3960	6.6%
15012	439	0.7%
15321	783	1.3%
15337	4151	6.9%
16232	5150	8.5%
16418	3384	5.6%
16844	2352	3.9%
17475	1506	2.5%
18670	5478	9.1%

Value	Count	Frequency (%)
30351	871	1.4%
27463	580	1.0%
26354	2621	4.3%
24390	3451	5.7%
22450	1395	2.3%
22271	711	1.2%
22123	5704	9.4%
22063	4453	7.4%
21938	3890	6.4%
20141	4498	7.4%

frozen_sqft
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5312.852552

Minimum	2452
Maximum	9184
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	2452
5-th percentile	2452
Q1	4746
median	5062
Q3	5751
95-th percentile	9184
Maximum	9184
Range	6732
Interquartile range (IQR)	1005

Descriptive statistics

Standard deviation	1575.907263
Coefficient of variation (CV)	0.2966216825
Kurtosis	0.6052844351
Mean	5312.852552
Median Absolute Deviation (MAD)	571
Skewness	0.5610409561
Sum	321045054
Variance	2483483.701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
7041	5704	9.4%
5415	5478	9.1%
2452	5150	8.5%
4746	5051	8.4%
6393	4498	7.4%
4923	4453	7.4%
5011	4151	6.9%
5633	3960	6.6%
5188	3890	6.4%
9184	3451	5.7%
Other values (10)	14642	24.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2452	5150	8.5%
3561	711	1.2%
3671	1506	2.5%
4016	3384	5.6%
4149	2352	3.9%
4193	580	1.0%
4294	783	1.3%
4746	5051	8.4%
4819	871	1.4%
4923	4453	7.4%

Value	Count	Frequency (%)
9184	3451	5.7%
8435	1395	2.3%
7041	5704	9.4%
6393	4498	7.4%
5751	439	0.7%
5633	3960	6.6%
5415	5478	9.1%
5188	3890	6.4%
5062	2621	4.3%
5011	4151	6.9%

meat_sqft
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3541.84628

Minimum	1635
Maximum	6122
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	1635
5-th percentile	1635
Q1	3164
median	3375
Q3	3834
95-th percentile	6122
Maximum	6122
Range	4487
Interquartile range (IQR)	670

Descriptive statistics

Standard deviation	1050.471635
Coefficient of variation (CV)	0.2965887145
Kurtosis	0.6048480774
Mean	3541.84628
Median Absolute Deviation (MAD)	380
Skewness	0.5612377606
Sum	214026687
Variance	1103490.656
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
4694	5704	9.4%
3610	5478	9.1%
1635	5150	8.5%
3164	5051	8.4%
4262	4498	7.4%
3282	4453	7.4%
3340	4151	6.9%
3755	3960	6.6%
3458	3890	6.4%
6122	3451	5.7%
Other values (10)	14642	24.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1635	5150	8.5%
2374	711	1.2%
2447	1506	2.5%
2678	3384	5.6%
2766	2352	3.9%
2795	580	1.0%
2863	783	1.3%
3164	5051	8.4%
3213	871	1.4%
3282	4453	7.4%

Value	Count	Frequency (%)
6122	3451	5.7%
5624	1395	2.3%
4694	5704	9.4%
4262	4498	7.4%
3834	439	0.7%
3755	3960	6.6%
3610	5478	9.1%
3458	3890	6.4%
3375	2621	4.3%
3340	4151	6.9%

coffee_bar
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

1.0	37021
0.0	23407

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	37021	61.3%
0.0	23407	38.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	37021	61.3%
0.0	23407	38.7%

Most occurring characters

Value	Count	Frequency (%)
0	83835	46.2%
.	60428	33.3%
1	37021	20.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	83835	69.4%
1	37021	30.6%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	83835	46.2%
.	60428	33.3%
1	37021	20.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	83835	46.2%
.	60428	33.3%
1	37021	20.4%

video_store
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

0.0	39027
1.0	21401

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	39027	64.6%
1.0	21401	35.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0.0	39027	64.6%
1.0	21401	35.4%

Most occurring characters

Value	Count	Frequency (%)
0	99455	54.9%
.	60428	33.3%
1	21401	11.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	99455	82.3%
1	21401	17.7%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	99455	54.9%
.	60428	33.3%
1	21401	11.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	99455	54.9%
.	60428	33.3%
1	21401	11.8%

salad_bar
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

1.0	35529
0.0	24899

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	35529	58.8%
0.0	24899	41.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	35529	58.8%
0.0	24899	41.2%

Most occurring characters

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	85327	70.6%
1	35529	29.4%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

prepared_food
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

1.0	35529
0.0	24899

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	35529	58.8%
0.0	24899	41.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	35529	58.8%
0.0	24899	41.2%

Most occurring characters

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	85327	70.6%
1	35529	29.4%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	85327	47.1%
.	60428	33.3%
1	35529	19.6%

florist
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

1.0	33997
0.0	26431

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	181284
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	33997	56.3%
0.0	26431	43.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	33997	56.3%
0.0	26431	43.7%

Most occurring characters

Value	Count	Frequency (%)
0	86859	47.9%
.	60428	33.3%
1	33997	18.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120856	66.7%
Other Punctuation	60428	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	86859	71.9%
1	33997	28.1%

Other Punctuation

Value	Count	Frequency (%)
.	60428	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	181284	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	86859	47.9%
.	60428	33.3%
1	33997	18.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	181284	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	86859	47.9%
.	60428	33.3%
1	33997	18.8%

media_type
Categorical

HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	472.2 KiB

Daily Paper, Radio	6820
Product Attachment	5371
Daily Paper, Radio, TV	5284
Daily Paper	5119
Street Handout	5069
Other values (8)	32765

Length

Max length	23
Median length	18
Mean length	14.72511088
Min length	2

Characters and Unicode

Total characters	889809
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Daily Paper, Radio
2nd row	Daily Paper, Radio
3rd row	Daily Paper, Radio
4th row	In-Store Coupon
5th row	Radio

Common Values

Value	Count	Frequency (%)
Daily Paper, Radio	6820	11.3%
Product Attachment	5371	8.9%
Daily Paper, Radio, TV	5284	8.7%
Daily Paper	5119	8.5%
Street Handout	5069	8.4%
Radio	4980	8.2%
Sunday Paper	4859	8.0%
In-Store Coupon	4495	7.4%
Sunday Paper, Radio	4050	6.7%
Cash Register Handout	4002	6.6%
Other values (3)	10379	17.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
paper	29478	20.4%
radio	24480	16.9%
daily	17223	11.9%
sunday	12255	8.5%
tv	12206	8.5%
handout	9071	6.3%
product	5371	3.7%
attachment	5371	3.7%
street	5069	3.5%
in-store	4495	3.1%
Other values (5)	19413	13.4%

Most occurring characters

Value	Count	Frequency (%)
a	105337	11.8%
	84004	9.4%
e	57486	6.5%
o	52407	5.9%
d	51177	5.8%
t	49190	5.5%
i	49162	5.5%
r	48415	5.4%
n	35687	4.0%
P	34849	3.9%
Other values (23)	322095	36.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	612047	68.8%
Uppercase Letter	161133	18.1%
Space Separator	84004	9.4%
Other Punctuation	28130	3.2%
Dash Punctuation	4495	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	105337	17.2%
e	57486	9.4%
o	52407	8.6%
d	51177	8.4%
t	49190	8.0%
i	49162	8.0%
r	48415	7.9%
n	35687	5.8%
u	34649	5.7%
p	33973	5.6%
Other values (8)	94564	15.5%

Uppercase Letter

Value	Count	Frequency (%)
P	34849	21.6%
R	28482	17.7%
S	21819	13.5%
D	17223	10.7%
T	12206	7.6%
V	12206	7.6%
H	9071	5.6%
C	8497	5.3%
A	5371	3.3%
I	4495	2.8%
Other values (2)	6914	4.3%

Space Separator

Value	Count	Frequency (%)
	84004	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	28130	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4495	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	773180	86.9%
Common	116629	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	105337	13.6%
e	57486	7.4%
o	52407	6.8%
d	51177	6.6%
t	49190	6.4%
i	49162	6.4%
r	48415	6.3%
n	35687	4.6%
P	34849	4.5%
u	34649	4.5%
Other values (20)	254821	33.0%

Common

Value	Count	Frequency (%)
	84004	72.0%
,	28130	24.1%
-	4495	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	889809	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	105337	11.8%
	84004	9.4%
e	57486	6.5%
o	52407	5.9%
d	51177	5.8%
t	49190	5.5%
i	49162	5.5%
r	48415	5.4%
n	35687	4.0%
P	34849	3.9%
Other values (23)	322095	36.2%

cost
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	328
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	99.26236612

Minimum	50.79
Maximum	149.75
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	472.2 KiB

Quantile statistics

Minimum	50.79
5-th percentile	53.82
Q1	69.65
median	98.52
Q3	126.62
95-th percentile	145.41
Maximum	149.75
Range	98.96
Interquartile range (IQR)	56.97

Descriptive statistics

Standard deviation	30.01125719
Coefficient of variation (CV)	0.3023427544
Kurtosis	-1.265830485
Mean	99.26236612
Median Absolute Deviation (MAD)	28.1
Skewness	0.03723895084
Sum	5998226.26
Variance	900.6755578
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
101.84	839	1.4%
69.63	763	1.3%
59.86	726	1.2%
81.79	698	1.2%
131.81	619	1.0%
126.62	593	1.0%
92.57	576	1.0%
69.47	539	0.9%
99.38	532	0.9%
91.28	530	0.9%
Other values (318)	54013	89.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50.79	232	0.4%
51	241	0.4%
51.12	432	0.7%
51.16	50	0.1%
51.27	120	0.2%
51.47	133	0.2%
52.06	328	0.5%
52.42	31	0.1%
52.77	72	0.1%
52.97	170	0.3%

Value	Count	Frequency (%)
149.75	149	0.2%
149.08	394	0.7%
148.87	150	0.2%
148.62	329	0.5%
147.82	344	0.6%
147.35	125	0.2%
147.18	177	0.3%
147.17	214	0.4%
146.72	529	0.9%
146.41	144	0.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	food_category	food_department	food_family	store_sales(in millions)	store_cost(in millions)	unit_sales(in millions)	promotion_name	sales_country	marital_status	gender	total_children	education	member_card	occupation	houseowner	avg_cars_at home(approx)	avg. yearly_income	num_children_at_home	avg_cars_at home(approx).1	brand_name	SRP	gross_weight	net_weight	recyclable_package	low_fat	units_per_case	store_type	store_city	store_state	store_sqft	grocery_sqft	frozen_sqft	meat_sqft	coffee_bar	video_store	salad_bar	prepared_food	florist	media_type	cost
0	Breakfast Foods	Frozen Foods	Food	7.36	2.7232	4.0	Bag Stuffers	USA	M	F	1.0	Partial High School	Normal	Skilled Manual	Y	1.0	$10K - $30K	1.0	1.0	Carrington	1.84	19.70	17.70	1.0	0.0	17.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	126.62
1	Breakfast Foods	Frozen Foods	Food	5.52	2.5944	3.0	Cash Register Lottery	USA	M	M	0.0	Bachelors Degree	Silver	Professional	Y	4.0	$50K - $70K	0.0	4.0	Carrington	1.84	19.70	17.70	1.0	0.0	17.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	59.86
2	Breakfast Foods	Frozen Foods	Food	3.68	1.3616	2.0	High Roller Savings	USA	S	F	4.0	Partial High School	Normal	Manual	N	1.0	$10K - $30K	0.0	1.0	Carrington	1.84	19.70	17.70	1.0	0.0	17.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	84.16
3	Breakfast Foods	Frozen Foods	Food	3.68	1.1776	2.0	Cash Register Lottery	USA	M	F	2.0	High School Degree	Bronze	Manual	Y	2.0	$30K - $50K	2.0	2.0	Carrington	1.84	19.70	17.70	1.0	0.0	17.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	In-Store Coupon	95.78
4	Breakfast Foods	Frozen Foods	Food	4.08	1.4280	3.0	Double Down Sale	USA	M	M	0.0	Partial High School	Bronze	Skilled Manual	N	2.0	$30K - $50K	0.0	2.0	Golden	1.36	7.12	5.11	0.0	1.0	29.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Radio	50.79
5	Breakfast Foods	Frozen Foods	Food	4.08	1.4688	3.0	Double Down Sale	USA	M	F	2.0	Bachelors Degree	Bronze	Professional	N	1.0	$50K - $70K	2.0	1.0	Golden	1.36	7.12	5.11	0.0	1.0	29.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Radio	50.79
6	Breakfast Foods	Frozen Foods	Food	5.44	2.5568	4.0	Cash Register Lottery	USA	S	F	4.0	High School Degree	Bronze	Skilled Manual	N	2.0	$30K - $50K	0.0	2.0	Golden	1.36	7.12	5.11	0.0	1.0	29.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	In-Store Coupon	95.78
7	Breakfast Foods	Frozen Foods	Food	3.74	1.6082	2.0	Cash Register Lottery	USA	S	M	1.0	Partial High School	Bronze	Manual	Y	4.0	$50K - $70K	0.0	4.0	Imagine	1.87	16.70	14.70	1.0	1.0	10.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	59.86
8	Breakfast Foods	Frozen Foods	Food	4.08	1.4688	3.0	Cash Register Lottery	USA	S	F	2.0	Partial High School	Normal	Skilled Manual	N	2.0	$10K - $30K	0.0	2.0	Golden	1.36	7.12	5.11	0.0	1.0	29.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	59.86
9	Breakfast Foods	Frozen Foods	Food	9.72	4.5684	3.0	High Roller Savings	USA	S	F	3.0	Graduate Degree	Bronze	Professional	N	1.0	$70K - $90K	0.0	1.0	Big Time	3.24	16.30	14.20	1.0	0.0	25.0	Deluxe Supermarket	Salem	OR	27694.0	18670.0	5415.0	3610.0	1.0	1.0	1.0	1.0	1.0	Daily Paper, Radio	84.16

Last rows

	food_category	food_department	food_family	store_sales(in millions)	store_cost(in millions)	unit_sales(in millions)	promotion_name	sales_country	marital_status	gender	total_children	education	member_card	occupation	houseowner	avg_cars_at home(approx)	avg. yearly_income	num_children_at_home	avg_cars_at home(approx).1	brand_name	SRP	gross_weight	net_weight	recyclable_package	units_per_case	store_type	store_city	store_state	store_sqft	grocery_sqft	frozen_sqft	meat_sqft	coffee_bar	florist	media_type	cost
60418	Specialty	Carousel	Non-Consumable	8.28	2.7324	3.0	Save-It Sale	Mexico	M	M	2.0	Partial College	Golden	Management	N	4.0	$30K - $50K	1.0	4.0	ADJ	2.76	19.6	18.6	1.0	26.0	Supermarket	Acapulco	Guerrero	23593.0	17475.0	3671.0	2447.0	0.0	0.0	In-Store Coupon	67.63
60419	Specialty	Carousel	Non-Consumable	6.90	2.8290	3.0	Two Day Sale	Mexico	S	M	4.0	Bachelors Degree	Golden	Professional	N	2.0	$70K - $90K	0.0	2.0	Prelude	2.30	21.5	19.5	1.0	29.0	Supermarket	Acapulco	Guerrero	23593.0	17475.0	3671.0	2447.0	0.0	0.0	Radio	73.27
60420	Specialty	Carousel	Non-Consumable	4.84	1.6940	4.0	Price Winners	Mexico	S	F	1.0	Partial High School	Normal	Skilled Manual	Y	1.0	$10K - $30K	0.0	1.0	Toretti	1.21	18.9	15.8	0.0	26.0	Supermarket	Acapulco	Guerrero	23593.0	17475.0	3671.0	2447.0	0.0	0.0	Sunday Paper	112.19
60421	Specialty	Carousel	Non-Consumable	0.99	0.4554	1.0	Green Light Special	USA	S	F	2.0	High School Degree	Bronze	Professional	Y	3.0	$130K - $150K	0.0	3.0	King	0.99	11.7	10.6	1.0	25.0	Small Grocery	San Francisco	CA	22478.0	15321.0	4294.0	2863.0	1.0	0.0	Cash Register Handout	127.19
60422	Specialty	Carousel	Non-Consumable	1.21	0.4477	1.0	Unbeatable Price Savers	USA	S	F	1.0	Partial High School	Bronze	Skilled Manual	N	2.0	$50K - $70K	0.0	2.0	Toretti	1.21	18.9	15.8	0.0	26.0	Small Grocery	San Francisco	CA	22478.0	15321.0	4294.0	2863.0	1.0	0.0	Sunday Paper, Radio	78.45
60423	Specialty	Carousel	Non-Consumable	2.76	1.3248	1.0	You Save Days	USA	M	F	1.0	Partial High School	Normal	Skilled Manual	Y	1.0	$10K - $30K	1.0	1.0	ADJ	2.76	19.6	18.6	1.0	26.0	Small Grocery	San Francisco	CA	22478.0	15321.0	4294.0	2863.0	1.0	0.0	In-Store Coupon	95.25
60424	Specialty	Carousel	Non-Consumable	1.60	0.4960	1.0	Price Cutters	USA	S	F	2.0	High School Degree	Bronze	Skilled Manual	N	2.0	$30K - $50K	0.0	2.0	Symphony	1.60	17.4	15.3	1.0	36.0	Small Grocery	San Francisco	CA	22478.0	15321.0	4294.0	2863.0	1.0	0.0	Sunday Paper	69.42
60425	Specialty	Carousel	Non-Consumable	5.52	2.5392	2.0	Weekend Markdown	USA	M	M	1.0	High School Degree	Bronze	Manual	Y	3.0	$30K - $50K	0.0	3.0	ADJ	2.76	19.6	18.6	1.0	26.0	Small Grocery	San Francisco	CA	22478.0	15321.0	4294.0	2863.0	1.0	0.0	Sunday Paper, Radio, TV	67.51
60426	Specialty	Carousel	Non-Consumable	8.28	2.5668	3.0	Sales Days	Canada	S	M	2.0	Bachelors Degree	Bronze	Professional	N	4.0	$70K - $90K	0.0	4.0	ADJ	2.76	19.6	18.6	1.0	26.0	Mid-Size Grocery	Victoria	BC	34452.0	27463.0	4193.0	2795.0	1.0	1.0	Sunday Paper	132.88
60427	Specialty	Carousel	Non-Consumable	9.20	4.2320	4.0	Super Duper Savers	Canada	S	F	3.0	Partial High School	Bronze	Manual	Y	1.0	$10K - $30K	0.0	1.0	Prelude	2.30	21.5	19.5	1.0	29.0	Mid-Size Grocery	Victoria	BC	34452.0	27463.0	4193.0	2795.0	1.0	1.0	Daily Paper, Radio	87.76

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length